{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Video Pipeline Demonstrating Applying Labels Based on Timestamps or Frame Numbers"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this example, we will go through the creation of a pipeline using the [readers.video](../../../operations/nvidia.dali.fn.readers.video.html) operator to read videos along with their labels. We will apply labels to the video based on frame numbers as input, and read timestamp and frame number labels along with decoded video frames.\n",
    "\n",
    "For more information on the `readers.video` parameters, please look at the documentation."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First let's import the libraries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import os\n",
    "import numpy as np\n",
    "import tempfile\n",
    "from nvidia.dali import pipeline_def\n",
    "import nvidia.dali.fn as fn\n",
    "import nvidia.dali.types as types\n",
    "\n",
    "try:\n",
    "    from PIL import Image\n",
    "\n",
    "    has_PIL = True\n",
    "except ImportError:\n",
    "    has_PIL = False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Then we define that in each iteration of the pipeline we want 4 batches and each batch has sequence length of 1 frame. We want to run 10 iterations for illustrative purpose."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "BATCH_SIZE = 4\n",
    "COUNT = 1\n",
    "ITER = 10\n",
    "frame_num_based_labels = True"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The video we have used in this example is a 10 seconds long, 25fps, 512x512 resolution video with timestamp burned into the frame itself in the top half of the video and frame number in the bottom half. The burned text in the decoded frame can be easily used to verify that we are indeed returned the correct frame number and timestamp labels.\n",
    "\n",
    "**Note**: `DALI_EXTRA_PATH` environment variable should point to the place where data from [DALI extra repository](https://github.com/NVIDIA/DALI_extra) is downloaded. Please make sure that the proper release tag is checked out."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "dali_extra_path = os.environ[\"DALI_EXTRA_PATH\"]\n",
    "file_list_txt = dali_extra_path + \"/db/video/test_label.mp4 0 0 100\\n\"\n",
    "file_list_txt += dali_extra_path + \"/db/video/test_label.mp4 1 100 200\\n\"\n",
    "file_list_txt += dali_extra_path + \"/db/video/test_label.mp4 2 200 250\\n\"\n",
    "tf = tempfile.NamedTemporaryFile()\n",
    "tf.write(str.encode(file_list_txt))\n",
    "tf.flush()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Defining the Pipeline\n",
    "We can then define a minimal Pipeline that will output directly the [readers.video](../../../operations/nvidia.dali.fn.readers.video.html) outputs.\n",
    "\n",
    "Notice that we set `file_list_frame_num=True`, this means that the labels we provided above using `file_list` will be interpreted as frame numbers.\n",
    "`test_label.mp4 0 0 100` is interpreted as applying label `0` from frame number `0` to `100`(excluding).\n",
    "\n",
    "If however you wished to apply labels using timestamp, simply set `file_list_frame_num=False` (default behaviour), and provide timestamps you wish to apply the label to. For example, if you wished to apply a label `1` to frames from `3` seconds to `8.5` seconds: `test_label.mp4 1 3 8.5`\n",
    "\n",
    "In this example we have set both `enable_frame_num` and `enable_timestamps` to `True` for illustrative purpose. You can enable or disable either of them depending on your particular use case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "@pipeline_def\n",
    "def video_pipe(file_list):\n",
    "    video, label, start_frame_num, timestamps = fn.readers.video(\n",
    "        device=\"gpu\",\n",
    "        file_list=file_list,\n",
    "        sequence_length=COUNT,\n",
    "        shard_id=0,\n",
    "        num_shards=1,\n",
    "        random_shuffle=True,\n",
    "        initial_fill=10,\n",
    "        image_type=types.RGB,\n",
    "        dtype=types.FLOAT,\n",
    "        file_list_frame_num=frame_num_based_labels,\n",
    "        enable_frame_num=True,\n",
    "        enable_timestamps=True,\n",
    "        file_list_include_preceding_frame=True,\n",
    "    )\n",
    "    return video, label, start_frame_num, timestamps"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualizing the Results\n",
    "We will use matplotlib to display the frames we obtained and the associated labels."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "from matplotlib import pyplot as plt\n",
    "import matplotlib.gridspec as gridspec"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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EbMtPBYUiNezMn0c+fs3jqbyScuD11gpSQFo7K/KyTTuHB1qxxAbBAMvZZ//05c1+0rht8J9w89Ky9/84yfbOE1OkoXdV3M0z+AZbJuCv+PiiqmrSQepfTleoxyOdNsKu+4ukrSuObT1VER1bNsgl+73nhXY9P8c+r7NuKefxdWwcSrKgqKylc/at5Xertuol9Ti8vu2r7WDiUHPft8BL7Vg20Ip5vNJ5d9rYXkGudRlXpH5ze57aqrjLW7K/l46Dq3+daV3sWNWRj0k3vihd/7xVaDbtZPcf3G1dtjvWVv+2/JTQUqtBvmip0xHuMQb80sG99sUYOo5SN8W6uXalR358lwgFHo3bSsuKlzsr8nJbllj3Z2lrD4/VtetXcSWaZF/yzbrYF822YwybU84u/0tZsi+wYuVt7/HW6tSKi1IatQ1e7zhI8lXw39c4ZLms7VKTduUvVycx8rRr3YfZToZkY12hXZDFY6odB1f83hWvo1EbC8ZtK6xVXZ7OQyofp0rtJN38cuRlquJIj+vK3CR99me7HhUrXTw28ms+Hs75ZflDDs1OsZ2bmf+ylmNBnvT589INf6v+bfqpINRqUP20yF/8xQIBafk0afHn1r1VPGVPeXL3V7LO5hXfFxvyTxipdRibYD/zc8Nv9xfZOI8kLZpsl6rI3lu15SoSaXwkLqS7rPT2VocGEd7f0C+5SMuFfg7FY0Dladw+cpA0aWc7TkUF1uortm+HtcYlacZrdqmKSJ9TaBBXJKbOiT9m60Cm9N7/O/w+eqQL/6dqFaHHqqIZSyQLryE321DAxh+tpbZ1udScbsjjglCrQZH+8IsV5ksf/cGKDKqiIELgSdY9VpHQPcWIyx3utC5dkZl3ILz1WFWVbXNlqrKtkh0GUd2iqvj+VnW58qpei1U2Puj12RhY9h77bIrlZEV+XEUifU5V+Vs+0XL3S+/+zkJcsq7USD0QJ1rP4RZqkh1WQqgdH4RaDfJUoax41lvBQGvRwyoqm7S344iiY4Jf2m/eJ20pZ4zrRAoNjR4XWCFEVVTUDYfIjra3KjQoB15f9S7wSJV6FR0jGSo/z4qjjlWD5pX/zRzKsSKh3Rvt98E3SqdeeuzrPp5SQlqMxTMR4djxdVKLBQLW5ShZuf+1T1X85RG6J15TQrv6Ajo5pgcqbhVFahFJFR9HWJOysyLf7y8K/l2EVi3WCRnzO5HTOG1fdWKqHwsOSR88bOOAks0QMvC6ipevMYyhVQuqH2uxvAPWdSTZ3nRFgZafa8eY1TRftJTSyq5vXRZ52dqi+GD1vIORl9tbC97f0naui9zduzM9eLBxaHAlpwbHRU+Wz6mqigqliX+07jxJ6jW8/CrT2iBzU/D6iZoY4KeAllotFvqFFamlsPizoxvLqg7t+1uXz57NdgBxm741vUWRFe/x791qXVax8WWXydknbaiFM2XkHbBq046Dyr9/Sch0Xq16B697fXbQ94rpdtB+5qYTUzzRsmf5U4wdL/4iO8ayuLu+67nS0DHVt75j9eOnwestetTcdriGllotFl8vWAm34msrGiktY5XNElJb9LkiOBvK5OdsJoVI1v1gLYqaUvxlUlRgs6iUVlRoJdeRKk5r0tcvl1+VuGlxsPq0SYfgsVHF+l9rLf+AX/roj9KBXRWvw19k055FWqamBQLSlPHBY9E6DrYTetZEmfy2FZHHyAIBK+kvnlIs9NhPHDtaarWYx2vHYC38xEqy37xP6jvCyu3zs20y3B8nWYgkNqwdXWQJ9aXhv5E+esy6Tl8fY5M5tznNjqXzF9mXY8YqafW3UlaGNOLRqpWEV4d2/WxWjv07bGaW3P2HjyGLkTI32ownO9bZgbTHejzd8da4rbR7k51pvXiarKKQabL8RdYqG3pX2cc2amMHbk972Vpqr91ux6C17GmfYWG+VQ1uW2FBkb3HjjGr2+jEv86q+PoVm6Bbsqnb+l8rZW6O/JiKxhJXzQw//GPLsvKvS/ZetT0t/Lb0eTbdWZu+Nml3w5ZWHVpUIO1cby3ojJW2bHSsNOzXHKN2PBFqtdyQm+0Ylp3rbOB70pPh99epK13+oH0h14ZQk2wvecQjdkr7vAPWzRLa1RLK463Z+e980XYw7ru/ty7eeR/YJXT7zv2llHugFoZaO5tXc+pfpS9fLHu/L9pmyA+ddi1U3xH23k97yWYumfOuXcrji5aiqnjWgJqw+rvg9d0bpNfLCfLSKuoK/frvtpNTniWf26VYix5lQ02yAFs7K/IMP0mNpYvvL9uKxrEh1Gq52ATp+j/bqUVWzbCxH49PSmokte0n9b28du49t+9vVWqLPrMxjsyNFgxen+3dprSySZo7DY48TdiJ0Lybzegw+y07bihnn80K0uwUm2arWVc79Uxt1PNCa3HM/cCKPnL32xRcrXrZqWeKC3cqfPxFUvsBttOxYYEVHB06aCGWmGLP3fpU21GJr3cCXpADup8vJSTbTtCu9ValmndA8nrts2nSXmrX33phqjL5Ao6MZ+yU0BNkAABw8qJQBADgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDOZ+/An59g3p+3/b9eo8rxUA1BRCDUCNSZ8rLZ1qpyLK3mvnd4s/POlvl7OlzhHO+H40MlZKS6ZKmxbZOc8Cfptgu0ELmwS667lSfPLxWx9OPELNAUu+kD57zq7fPiF4NmeUb9926eUb7fqF99ms6jixCvOlSU/ZOfVKO7DbLmtn27kERzxq5yM71vV9+aK0eIpUegr3rAy7pM+RkptKHQYe27pQswi1n5DBP7MLUNO++r9goMUnS/2ustaZL8pO1/LDu3ZOsy1LpU8el656/OjXVVQgffQHaxVKdsqjU86RGja3k8EezJS2LZdWlROwOPkQagBOqOy90uLDJ9qskyjd+LfwcwI272ah86877Ozb6+dLGaulph2Pbn3fv3k40Dx2FvDeF5daoIOd/2/Iz6WiwqNbB2oPqh8BnFDbVtpYliR1O7/8k9zGJtiZuUsec5RnHc/KkH54x673vricQCvFx27+SY+P8CS2aZH09tjw24rHikJd+7TUsmfl1Y8v3WBdPt2GShf9Rtq+Rpr7vrRliZ1RObGhnSW5/7XhZ0Heukya96F9WeVkSXVT7EzJA66TYuMjvwZ/kbR8mrRyhrRjrZ0hOLqO1LCl1HGQ1OtiKTq24sdvX2PjLluWSgd3S/7DhQbxyVJaF6l1H9sL93hs+aeHhT/+s+eC45HFBo4O76bNypBWfydtXizt2iDl7LXb45Olpp1tTK7taRVvY+kxz8SG0oKPpeVf25nMvV6pUVup30ip3enBxx3KkX6cJK2Ybtvg8UipHaX+10itepe/rtC/iWufllp0t1bRki+kPZutKy45TepyloVGTZx52R/SGkpuWvFyofcVFRzduhZNtvV5vPZ3C/cRaijXsi+lz8eHf5lkZUjzPpDWzZFGPSMlNpDmvCtN/4fCBt+zMuz2jQulUc9KMXHlr2P/TumDh6Wd6eG3FxVYUG5dJi2cJI38o9SgednHz/1Amv734F5/seJCgx1rLfB+/VHF21CZrO3SKzdVvP37d0qrZkinnCtddJ/k9UV+vkM50sdPWBVeqM2L7XL27dJpI+x53/t/0u6N4cttXCht/FEaPlbqek7kdRUVSu89KK2fF377rvV2WfaVdM1T9jmeSKGfZVZGxcuF3lfe518Vq2bazybtbWdLkgIBKXuPFY/E15di6hzdc6N2ItROYqmdpJtfltZ+L82cYLdd9bi1BEIdaTXkznRrHSQ3tdZDShspP8f29pd/Je3dYmHScZA0/VVrEZ16qZVF5+6T5k+0SrIda6VZb0pn/qLsOnL3S//5H+nALskXLfW8UGrRQ0pqIhXkShvmS/M/krK22Zf7jS9al1ToNhYHWr1UW3/jdlKdurate7ZYq2XtrPD13vyyFQa8+4D9fsaNUvtS1W6hJd2BItu+1n2k1qdKKS1tHXkHbB0LP7HgWf6VlJwqDb4h8ns75QVpxxqp9yVWZVenrrRznfTt67Zd0/9u65n8rAXq6ddIbfpa63XrMum7N6RD2dLUv9pyCckVr2vmv6Ttq23be19s3XwHdtk2b1ggZW6ynYrR4ysP4+OpURup2SnS1uVWzn/aSKluqb/ZQznW+pfs77BNnyNfT05WMBgbtbadpdn/lX781EJNshZc0072d95x8NG+ItQmhNpJLKaO/bNuXx28rUGzYy/p37nOvnSufsK+TIu16iUV5dve74rpNvjecbB06QPhX4qtektv3mfjIIs/l864qeyX5pf/a1+wSU2smyy51Da37Cl1GmLPUzwuMuTm4P2rZlqgRdexL+WE+uGPb9HdgvJQdnj3ZaPW4XvmiSl2W0USGga7DEtr1du6Rz97zr6c574vnXZlePiWlrFKuuKh8LLx1A7WrTjhV/aa/jvWvtRHPSuldQ4u17SjVL+Z9P6DFtzLp1mrriLbV0s9L5KG3RO+rg4Dpc+el5Z8bsssmmwhGyr0sIdjUdz1XdqF90nv/t7W8/qvgtWPXp918c551+6LqyddPM52LI7U7k3B61Gx0lu/LTs2F/DbbR/90T7L88cc+XpQu1AogrI80gX3hgdasV6HB9oDfgu4YfeUDSyvzwJFshZZ6S60fdulld/Y9fPuLBtoxZq0D37ZLp0afl/24XGt+s3LBlqo2IRjO3g3pk75gVbM45HOvs3WUZBnLaBIOg8p/zioxm2lZl3tes4+qe8V4YFWrF0/2xGQbBwxkoT60jm3l3/fub8Mjosu/CTy81SHBs2lG/4qDb5Rys+Tvn7FxgLfvM9aoQd2WwvuphetJ+Bo5B0IXl8yxcKraSfrcr33Y+nu96WL7w9+vj9Ost4BnNxoqaGMxm2sUKPc+9oGr7c6VYpLKn+5RiHL7dse/rh1cw63smIjF1hI1uKa8651ze3fKSU1ttuLx4EyN9r4VNNyAqA6FBVaoUh+rhWlFItLsu6unelSpzMqfnyXsyq+r3FbK8qRpM4RlmvUxgp69kUYj5KspVvejolkY4ydhgS7Tw/uCR9bS0yxrtpjFanXYO1sa20W5Ja9z19oY5Xx9awVV1zocyQK8oLXC/OllNbWcix+T6JjpVPOPtxKvtOW/+7fUo8LKn7fUPsRaiijfrOK7wud2SHS4H3ocvk54fcVd5cWHJKevajq25W9JxhqXc6y8ZGiAhuba9NXatvPjnFKaXV0X4IVKSq0LrplX1nXbKRKvNz9kZ8r0nsb2m3ZINJncHi5/HLCIFRlx3U17RRspe1eHx5qvqjI3bLHatrLVnQkWcu130ipUTurBM3cJC2YaGO43/zDdlou/f2Rj/uVruwcfEP5YdWgmfVAzH3PWncbFkodBhzd60LNI9RQRqS91NCuvKgIpfahoRLaopGse+1oFBwKXm/YUrrkfmnKeCnvoLTuB7tINg7Tpu/h4pPuR7euYrn7pXcesOKOqig8FPn+SIcnhL63VfkMSr+vpVU2h2Fot23ugYqXO97W/RAMtOLDR0I1aW9jbokpVmi0+jurgu1z2ZGtJ6zi1VPxYRCSFaLMfc+ub19NqJ3MCDWccIEi+xlXz7qDqqp0V1anM6wCcMU30oZ5NsaUs88qMJd/ZZduQ6UL/+fox9W+eikYaB0GSt2HWfdffLK1BIrD+/9GW+FLrXIMrdWiQqvuPFb1UsuWzBfPJiKPFRFVZMAoq4AsyLUxsSMNtdCDuuskRD5mMnTZnKwjWw9qF0INJ1ydw+Nw+TlSwxbHVk4emyD1usguknVdrZll3VcHM63ApHE7K7w4UoeygwUtp5xjVXgVyTt45M9f3YoPEq9Idsj9cXXD7zu4W/pnBUUmR6K86sfMw1WJCcnBY8fKExVjXckZK+3A8SNVv5nkjbLxucpataHHOp7Iwxtw/FH96IDjOX50IjRpZz+LCmxGkOOpYUubcWP0+GAX3qoZpRaq4vu1d1tw9ovOZ1a8XOam8osdalrG6sj3hx4KktK6WjclTHFo+IsqX7b4/fccRdD4ooKVk/k5kbu9Qw/0jhS0qP1oqTkg9BiewqOcTuhEatc/OAvJvA+lS393/NeR1NjK/XeulXJKFW+EFhBEKvoI/dINraQr7cdPj24bq9uqmXbge3njePl5NjWZZDsC5R2wX10nkq2XahWXuftth6CiStvQw0EqOuyjMp0GBytK13wfPNSktNBT4DTvdnTrQu1AS80BoV9IkaYdqi0atgiWva+cbgctR5K13eZJDLXm+8hdfvt3BruskpuE3xeXFNwRiPR+1U9TSatu6VSbXqm0tbNtHsfaKHuPHf9Vnq9fDo4dVTbJ7/HWrn/w+lcvlb9jEfDb6WmK72vXr+wy+7bbXJ5PD7MDq8vTfViwYOa7N6QDmWWX2bTYKlsla7EWHy+IkxMtNQc0bmetj8J86dsJks9nB+gWd0smpkSuuqsJ54+xAoysDPviXTNL6naejaH4om0vfWe6zVu4aZEVaZxydvDx8z6UJj1pZfwte9nefmyClWRvX2NjasWViL1KfWl7fXZs0tZlVoDQuJ11iRZ3i9Wpa8EXl2TH0aXPse1453cWAElNLBBWfSst/cKmcTp08OirOqtLakc7oHjfdqnX8OA0WT9OstO5SFLj9mXfn+rWfag0/0NrpW2YL70+5vA0Z22tmzFzo1U7Fs/+kVBf6nvl0a0rJk469w7pkydtjPWNMdY93bSzBeb6eTaHaMBvn//5d5983fkIR6g5IDZeOvUyO0h5x1orQQ9V0VRFNSkuSbruz9LHf7KqxS1Lgt1E5Smvcq3gkHWxFU9aW5rHKw36WfkzePS/Rnr/YQvPSU+G3xc6S//5Y2yWi/07D08mvDB82aTG0hUP28TBqmWhdsZN1gpeP6/spMaSzdV55R9OfGGEL1oa+Zj04SO247Jrvc2JWZ56qdLlD4WfFeJIdTnLPuevX7Fg+/J/yy4THSddPFZqTivtpEeoOeLMX1i117IvbRziUHbZ2etrm8QG0nXP2XFLK6bbnnn2HqmoyEqw6zezgf72A8oeb3bJ/fa4TYttjz97r5Xy+2Kkeo2l5t2tdRI6k0modqdL1zxp0yJtX22trNBTohRLamyTKf/wjrUm9++wVnG9JjYRct/LrWVXG/mi7AwHxQeOZ26W/IdPPdN5iLV+aqoFX6+J9LO/Wvfzqpm2M1bc0q1T1w6b6DBA6jr0+Myif+qlUsse0oLDkzkfzLSdnuRUO6ax7xWRp0PDycMzdorKGSkAcDIqfT612tZCB6obhSIAAGcQagAAZxBqAABnEGoAAGcQagAAZ1D9CABwRpWPU3t6WHVuBgAAkVVlPlK6HwEAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOINQAAM4g1AAAziDUAADOiKrpDQCOp6ioKHXq1En9+vVTWlqaPB6PNmzYoFmzZik9PV2BQKDS54iPj9egQYPUpUsXxcfHa/369ZoxY4YyMjLClktMTNTpp5+uXr16KSYmRhs3btQ333yjrVu3lnnOtLQ0XXDBBUpLS9PevXs1Y8YMLV26tMz2REdHq0+fPhowYIASEhKUnp6uL7/8Ujt37izznCkpKRo8eLC6du2q7OxsLViwQHPmzFFeXl6ZZTt16qRzzjlHDRs21K5duzR16lSlp6dX+l4AJxtCDc6Ijo7WiBEjdN9996lFixZq2LCh/H6/srKytH79et1zzz2aM2dOxOeIjY3V888/r6FDhyopKUnx8fHKysrSG2+8oXHjxpUsl5SUpDvvvFM///nP1axZMxUUFGj//v0aP368/va3vyk/P79k2a5du+rJJ59U//79lZycrOzsbK1fv1733nuvpk+fXrKcx+PRFVdcoYcfflitW7dWTEyMdu/erc8//1yPPPKINm7cWLJsWlqafve73+nyyy9XkyZNdOjQIW3ZskV//vOf9a9//UsFBQUly/bt21cvvviiOnfurPj4eGVnZ+v666/XmDFjtGjRouPwzgO1B92PcEaTJk10//33q169enrggQfUunVr9ejRQ6+88opat26thx9+WB6Pp8zjvF6vfD6f4uPj9Y9//EOjRo3S4sWLdfnll6tt27b605/+FNb68Xg86tu3r+644w4tWLBA/fv312mnnabp06fr3nvv1amnnlqybHx8vMaMGaOzzjpLzzzzjDp06KC7775bSUlJeuGFF1S3bt2SZZOSkvTMM88oNzdXV199tTp06KA333xTI0eO1NVXXy2v11uyvRdccIGuv/56ffbZZ+rYsaMuvPBC7dixQ4899phatGhR8pzR0dF66qmn1KpVK40bN06tW7fW/fffrx49eujBBx9UVBT7tXDM2CkKVOUiceFSuy8dOnQI5OTkBMaNGxfw+Xwlt9etWzcwefLkwN69ewNer7fCx59xxhmBnTt3BiZOnBhIS0sLREVFBTweT5nloqOjA08++WRgyZIlgXPPPbdkmcGDBwcWL14ceOaZZwJxcXEBSYF+/foF5s+fH5gwYULYun//+98H9uzZE7jqqqtKbhszZkxgx44dgZtvvrnktqSkpMDkyZMDU6ZMCbRt2zYgKdCkSZPABx98EJg+fXqgefPmJcuOGDEisGXLlsAf/vCHktsuvvjiQEZGRuDZZ58New2vvfZaYM2aNYGzzz67xj83LlyqeqlKVtFSgzMOHjyoefPmqWvXrurYsaN8Pp/i4uLUu3dvpaam6osvvog4pjZkyBBFRUVp6tSp2rZtmwoLC8tdPioqSkOGDNHKlSu1bNmykmXWrFmj5cuX64wzzlB8fLwkqU2bNmrZsqU+/vhj+f3+kueYOHGiioqKNGjQoJLbzjrrLGVlZenbb78tuS03N1dTp05Vp06d1KRJE0nWouvevbtmzpypPXv2lCw7b948bdmyRYMHDy65rVevXoqPj9c777wT9hrefPNNNWrUSF27dq3SewucLOh7gDN2796tp556Srfddpv+8pe/aPPmzUpISFCTJk20ePFijR8/PmKodevWTT6fTytWrNANN9ygfv36qaioSF9//bW++OIL5eTkSJJ8Pp86duyohQsXKjMzs+Txu3bt0oYNG9S/f/+SAGvYsKGSkpLKFGWsW7dOksK6Clu1aqW8vLywsbPCwkJt2LBBKSkpSkxMlGTjfikpKdq6dWtYt+i2bdu0b98+dezYseS2pk2bKiYmRqtXrw5b/9KlSxUfH18SlIArCDU4o6CgQGvWrJHP59OgQYPk8Xjk8/mUk5OjBQsWlARJReLj45Wfn6/LL79cI0eOVHR0tGJjY3XVVVfpP//5jx599FEdPHhQHo9HiYmJysrKCivI8Pv98ng8io2NLQnP6OhoRUVFlQRisdzc3JJxvGJer1eBQCCsyCQQCCgnJ0dxcXGKjo6WZGN6Xq9XhYWFYa2/wsJCFRUVqU6dOiW3JSQklLwHofLy8kreH8AldD/CGcnJyRo3bpw6dOigO++8U02bNlXLli314osvatSoUbrtttsiPr6goED16tVTs2bNNHLkSLVo0UKXXnqpduzYoREjRmjIkCGSLGiysrIUGxtbUrxRrKioSJLCCjDKax3GxMTI7/eHBZhkrcCYmJiw26KiopSfn1/y3JIFYExMTFjhS3HBS3Z2dslteXl5CgQCZcIrLi5Ofr8/7DkBFxBqcEaDBg00fPhwvfPOO3r77beVlZWl7du36/nnn9fSpUt14403llv9WCw9PV0HDhzQuHHj9N133+nQoUOaPn26HnjgASUmJqp169aKjo6W3+9Xenq6GjRooHr16pU8Z1xcnOrXr6+srCzl5+fL4/EoJydHBw8eVFpaWti6WrZsqUAgoF27dpXctnv3bkVHR6tBgwYlt/l8PqWlpSkrK6skrAoLC3Xw4EElJSWVtN4kqW7duoqJiQkbZ9uxY4cKCgrUsmXLkts8Ho/S0tKUn5+vAwcOHOW7DdROhBqc4fV6FR8fr4KCgrBuOb/fL7/fr5SUlIihtn37dhUVFamwsLCki0+S9u/fr8TERHk8npLn3rp1qxo3bqzU1NSSllirVq3UtWtXrVq1SoWFhZKkzZs3a+vWrbrkkkvC1n3uuefK6/WGHSc2bdo0JScnhxV6xMXF6bzzzlN6erp2794tSdq3b58WLlyoQYMGhQXgaaedprS0NM2YMaPktsWLFys7O1uXXXZZyW2BQECXXHKJ9u7dq+XLlx/ZmwzUcoQanJGbm6u1a9fqqquu0vDhw1W3bl01bNhQN998s3r06KH58+dXWCji8Xg0f/58FRUV6f7771fnzp3l8Xg0aNAgPf7449q6datWrFghScrPz9c777yjvn376pZbblFaWppSU1N16623qnPnzpo9e7YKCgoUCAS0YMECLV++XNdcc41Gjx6tuLg4DRgwQLfccotyc3P13nvvlWzDxIkTlZiYqFtvvVXdu3dXbGysfvazn+nMM8/UzJkztWnTJknWops2bZoGDhyo2267TQkJCWrVqpVuueUW1a9fX2+99VbJc06bNk0bNmzQz3/+cw0dOlTR0dG64IILdNNNN2nTpk2aNWtWNX4iwInnOXwMWqWeHlbdmwIcm6ioKF1//fV64oknVKdOnZIWV3R0tPbu3atrr71Wc+bMKQm2KVOmqFmzZurRo4f8fr98Pp/GjBmjhx56SHl5efL5fPL5fAoEAvr3v/+t3/72tyWtvsaNG+upp57SJZdcokAgoLy8PCUnJ2vy5Mn6zW9+o82bN5ds1znnnKNXX31VDRo0UEFBgbxer6KjozVmzBhNmDChZDmfz6f77rtP999/v/x+vwKBgLxer1auXKm77rpLixYtKmmBtm/fXn/5y19KKi09Ho+ioqI0fvx4PfHEE2FVkSNHjtQrr7wij8dT0oIsLCzUDTfcoKlTp56IjwY4LsZOqXwZQg1O8fl8Gjx4sEaPHq1mzZpJkpYsWaK33npLixcvDuuWfOmll9SsWTPdcccd2rJliyQr4Bg+fLiuvPJKpaWlae7cuZo+fbq+/vrrkuDat2+fAoGAWrZsqYsvvlhDhgxRTEyMFi9erLffflsrV64M26aEhAR16dJFN910kzp16qSMjAy9/vrrmjZtWtj2SFKdOnV04YUX6pprrlFKSopmz56tf/7zn+VWbqalpenWW2/VoEGDlJ2drQ8++EAffvihDh48WGbZQYMG6dZbb1Vqaqo2btyov//971qwYEGZ9QO1GaGGn6zigo2qTGDs8XiqtByAmlWVUOM4NThp7969VV6WQAPcQaEIAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGVE1vQHAySIhIUHdunVTt27d1LBhQ+Xn52vTpk365ptvlJmZWWb5Bg0alCxfv359rVq1Su+9916Z5QYMGKDzzjtPHo+n5Lbc3FxNmDBBO3furNbXBLiGUAOqaNSoUfr1r3+tpk2bKiEhQX6/X3v27NFXX32le+65R1lZWSXLJiYm6r333lNqaqqaNm2qxMREff/99/rwww9VVFQU9ryDBw/Wo48+quzsbCUkJEiS8vPz9dVXXxFqwBGi+xGoIr/fr8mTJ+uaa65R27ZtdeaZZ2ru3LkaMWKE7rvvvrBlvV6vYmNj9dFHH2nUqFHavHmz4uLi5PP5yjxvYWGhioqKdM4556hly5Zq3ry5OnfurGXLlp2olwY4g5YaUEWvvfZa2O/btm3T3XffralTp2ro0KF68MEHS+7bv3+/Bg0aVPJ7QUGBPB6PAoFAmeeNjo6W1+tVVlaWtm7dKp/Pp8LCwup7IYDDCDXgGGRlZSk/P18FBQURl/P7/fJ6vfL7/WXuCwQC8ng8uvTSS7Vnzx7t2LFDc+bMUWZmZrkhCKBihBpwDC666CKlpKTo1VdfjbjcoUOH5PV6S0KqdKtt7969Gjt2rKKiopSdna33339fTz31lLZv316t2w+4hjE14Cj16tVLd911l7Zs2aI33ngj4rLFXYzFQRYaaJs2bdILL7ygkSNHavTo0Vq6dKlGjx6tX/ziF4qKYr8TOBL8xwBHoXPnznr88cfVuHFjXX311dq7d2/E5b1eb4Vjap988okmTpyovLw8eTwerVu3Ts8//7zGjBmj8ePHM74GHAFaasAR6ty5s55//nl16dJFDz74oJYvX17pY4qKiuT1lv/vlpOTo7y8PEnWgtuwYYNWrFihunXrhh27BqByhBpwBHr27Kk///nP6tatm/74xz/qk08+KVMkUl4Q+Xy+kiKR0veXDrt69eqpUaNG2rJlS7mFJQAqRqgBVdSzZ0899thjGjRokB555BG9/fbbys3NLbNceV2MXq+3JLxC72/Xrp3uvfdetWrVSl6vV126dNG4ceN03nnn6csvv6y0qhJAOEINqKLhw4fr3HPPVVxcnJ544gmtWbNG27ZtU0ZGhmbNmqWYmJiw5U8//XRlZGQoIyNDbdu2Vbt27bRt2zatW7dOvXv3liSlpKToV7/6lb777jtt3rxZn376qW677TatWrVKf//73xlPA44QhSJAFWVmZmrhwoVhRR/5+fnyer3KyMhQfn5+2PK5ublKT0+XJK1du1Zer1f5+fmKi4srCasffvhBo0aN0h133KG2bdsqLy9Pf/3rX/Xuu+9qy5YtJ/w1Aic7z9gpqtLRnU8Pq+5NAQCgYmOnVL4M3Y8AAGcQagAAZxBqAABnEGoAAGcQagAAZxBqAABnEGoAAGcQagAAZxBqAABnEGoAAGcQagAAZ1R5QuOqzLkFAEBNoqUGAHAGoQYAcAahBgBwBqEGAHAGoQYAcAahBgBwBqEGAHAGoQYAcAahBgBwxv8HAHjKWQ1dTxIAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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L3ZZ+LbU5yr6bjOzavffe7dZtL1nQt+9Tu9dB7dAwPgKcfEP889c8nuorKQdfZa0gBaQV38Zft1WP6OfXpDcJBVhhvnVZRZv9pHln2zFI0voFVR+fM96OztOzpTNvj919NvQaWyfgtzGYA9EiRxoYpSvU45GOu9CW/T5p4+IDe5+aSEqpGuSS/bvP2bZcWmjf1yk3RXl+AxuHkiwoqmvpnHpz9G7VDn2lY/a93+ZlUu6yyMe//7cFXstuVQMtyOOVzviFje2VFVmXcSyN29rr1KWERGspnvG/0uWjpWv/amN9J10vZTSzdTYulN67v3YtyEBAmvicfX+SNOgqKTH54G0/qkdLrZ5LSJK6xxnviCbgl/butP9Y4eMoGdnWzbVtVfzn94xT4NG8s7QwuN4p8dfbMN+6PytbsW+srsvx8f/DexOkNj1tR7npAMOm16mxu5Ra5ISWo23vwdahf+yilGadQ8vdhsQ+X6p52Hq7NkstukRfr0F6/GnXeg+zgwzJxrrCuyCDY6rdhsbvjmuQbl2Tm5fZ99QnxnlZPU6qfvyvZXfp+pfir1MT6TFaWT9/Lno3f/s+1gU+7jFrtW9fJ33z1v53e894O/S5te8j9R8Rf30cfIRaPde4dc2O9AIBadFkad4E694qL4m9brTZECLes23sx1LCdgjxWocpDe1naVHk/X6fjfNI0txP7VYTBTtrtl4sTeJ0XaaGdZdV3t5DoUmczzd8hxtvvfDvIdgqiKZ51/hB0qKLHTj5yqzVF5S/xVrjkvT1K3ariXjfU3gQx5LcoJbnj9VQtEALSkmTzv+d9NK1VgQ191PrJalphenCyTYeLVnX53n3xa42xqHDR17PxftPGFReKv37QSu8WD8vfqBJVjYfT1JK7MfCj9jjrrfvL6tyRWbxnsjWY01Vt83Vqcm2SnYaxKGWWMPPt6brRat6DapufNCbEBoDK94Tur9wV/znxRLve6rJ33JdS2kY6oEoK7bWZ02s/G7fKTsBO9Xh0scPXyUtItFSq+c8NShl//Ztq5qTrJij3wipRVf7z5WUHNppj7lb2hBljOtwCg+NY4ZbIURNxOqGQ3y1LeILD8rBV9W8CzypQezHatJqKS2uWsRRG03a1v5vJrxacc/26tdfN9e6Lf3lFtyX/NF6WFA32FUc4QIB63KUrNz/8j/H3nmEH4nXlfCuvoAObVfTwRJsFcVrEUmxzyOsSwW74j/u94X+LsKrFhuEjfl5Ew/f97R56eGpfoxnf8r5c5dI/37YekuSUqWL/1izblYcOnQ/HuGK90gFO2y5e5wZQ0qL7ByzupaQJGV3sOWNC+OvW18ET1Yv3ht/vZ314POtbOvK+N29W1eFThQOD66slqFx0SPlezpY8taGltObxl5v6yo7HaSsyMa9L3o08lQb1A1aake48B1WvJbCvM9qN5Z1KHQdaDuOHevtBOJOA+p6i+ILHvHv3CiVFEafnLYwX1pTD2fKKN5j1abdhkR/fH7YdF4d+oWWvQl20vfiKXbS/vZ1h+ck4vZ9ok8xdriUFNjEAJKNw7bMib7ejg12jl/xXmvJnv8g56PVF7TUjnBpjUKVcIu/tG6QynKXhqqy6oNjR4ZmQ/n0KSlvTfz1V35nR8V1pd0x9tNXZrOoVOYrlyb8X/UFOnXly5eiVyWumxeqPm2RY7ONhBt4ubX8A37poz9Ie7bFfg+/z6r/4q1T11Z9H7+QpbRIGvfHUHVw7+HRK493b5Xevc8+U49XGnGfnZ6C+oGW2hHO47VzsGZ/bCXZY+6WBlxo5falBTYZ7pzxFiLpTetHF1nDxtK5v5E+esy6Tt+4wyZz7nScnUvn99nOMXeptGyatCtXuvDRuhur6HK8zcqxe4vNzFK0e985ZMnS9rU248mWlTbt1YGeT3ewNe8s5a2zK60Hp8nyhU2T5fdZq+zM26s+t1knO3F78kvWUnvlVjsHrX0f+w7LS630f9NiO5ewYIedYxY8ibm++e49mxKs2xAbf85qZf8vSgpsurc5n1hgSVZoEu1E8aLdFmjB8D7uIjtdZNua2O/bIL32s5Ng/xFqDjjpepsGautKK0Ee/0Tk4w0ypAsetB1yfQg1yU7ovfAR6dMnrYtszid2i8bjjV9Vd6glJEnn3bNv/KRY+uEDu4Vv3+m3SUV76mGodbGTiic9L33xQtXHE5JshvxYY0EDLrTPfvKLtvOf+b7doklIkhJreE5XXSneY4VVweKqaNodI513b/QT5Lettm7ooHifR1D41Tdw6BFqDkhpKF31tF1aZOnX9p/OkyBlNpM6Hy8NuKB+Hj13HWhVanM/s66h7WstGLwJ1hLI7mCTNHcfGn+asMOh7dHSNX+xGSPWzrExtNRMqU0vm2arzVF26Zn6qM/ZVgTy/QdW9FG026bg6tDXLj0TLNyJ+fxzbJLfOZ/Y+NqODXYJnIQkm7mjWUe7RFC3odYdXl+dcrO0brZNhbZjg30OJXvtfMD0phbsPU+xOTEPdEJj1B3PPRPDL34BAMCRi0IRAIAzCDUAgDMINQCAMwg1AIAzCDUAgDMINQCAMwg1AIAzCDUAgDMINQCAMwg1AIAzmPvREdPelKa/Zct1eT0qAKhLhBqAgyp/s7TiO2n9XGnramnvdrsmW2oju+hmz1Ok7ifaxNUHy8aF0uzx0oYFdp2zBulSs842Q36vU2v2GtvW2GWa1s+3S9CUl9pk4dkdbPLtY86OfoFY1C9MaFzPzf9c+uwpW7719dBVmCujpWbyN0svXWvLZ98t9T6rbrfnp2bq69K3b0vV7VVadrPLIR2Mqy9Me1P6dowFZzSdj7f3inbBz6Dv3pW+fi32a0h2pYsLH5VadDmgzcUhRkvNEUN/bjegLu3dISlg12DLGWKXt2ncxgJl+zq7oOrmZXZ79z7p2hek5NTav9+cT0IHc1mtpIFX2KVw9m6391o31y6I+tlT0oj7o7/Goi+lr16x5YQkqd8IqUM/KS1T2pkrzflY2rDQLgw69nfSjf+0liDqJ0INwEGTmiGdfKPU97yqXXXBrsePnwhd9+/7f0e/wnRNFO2WvnrZljObS1c/G3k9ty4nSB/+Xlo5Q1o8JXTV7spmvB1avuBBe15Qqx7WffnR76Vl31jX5rzPpOMvqd0249Cj+hHAQXPKTXbh0VhjT94E6aw7rEUkScum1f695k2wq3FLFqSVL1DqTZDOut2uTC5JM8dWfY2SAilvrS236BoZaOEGhwVvfbu6OSLRUqun1s2V3rkn8r7gWFG4y0fZ0Wd1Y2ovXiPt3hK6tPzm5XaUvGG+HfGmN7WrGw+8PHLnsHGh9MOH0qYlUuEuKSPbrnA86MrqB839PmnRZGnJ19KWFVLxHuuWatpe6jbEjuaTUmI/f/NyafbHNvi/N0/y+23b0rKk1j3tCsVdB4auUjxqWOTzP3sqNB4ZNPjqyG7aXbl2BL5+nhUKFO60+9Oy7Ci991lS5+Nib2PlMc/0ptKs/1iX1s6NktdrBQvHXxy5wywptKKExVNsGzweG2caeJl1fUUT/jdx+SipXW/bsc//XNqxXvKVSVmtrTU04ML4Y0h1KTVTatbJuiB3bar96yyfbj+T0+zvKZqMZlLHftLqH6W1s+1zD/+79ZWHlrNaxX6vrNbRn4P6h1D7CVr4hTThGdsJBu3KlX74QFo5U7pitJTeRJr5vjTlZUUM+u/KtfvXzpaueDL2eMjurdIHD0tbV0Xe7yuzoAxWq138B6lJ26rP//4Daco/qg7c78mz25YVFni/+qj2YzK7Nkt/vy729u/eat1kvU6Xzrm7+mq9kkLpP49LuUsi718/z26n3iodd6G97tj/F2ohBK2dLa2dI517j3TUafHfy1cujX1QWv1D5P3bVttt4X+ly/5s32N9FPzb89SyAtJXJuUuteU2PUMtv2jaHWOh5iuzIO3QN/RYWiOpQYYdcO3Kjf0a4eEb7e8V9QehVk+17C5d/5K0YrpVlEnSJX+ylkC4WNWQsWxdZa2DrFbWesjuJJUW2tH+ov9KOzdYmHQbIk35p7WI+v9MatJOKsqXfhxnA+9bVljF2ck3Vn2Pot3Sv35tA+sJSVKfs23HktlCKiuS1vxog/i7NtnO/doXrHQ6fBuDgdaopb1/8y628yktlHZssFbLim8j3/f6l6xA4P0H7N8nXit1HRy5TlpWaDngs+3reKzUsb+U3T60g9uxwUIzb619LlktpaHXxP9sJz4rbVluhQY5g+21tq6Upr1h2zXlH/Y+nz5pgXrCZVKnAdZ63bhQ+uZN6w6b9Lyt1zAr9ntNfc120B2PlfqdZy2SPdtsm9fMsqKMDx6Wrn7m4JbOHwwFu2z7JKlpu9q9xo6NoQOeJtW8RvjjO9ZHhpok9T1XmvGO/U2v+j56y/zbMfbTmyAdM7x224zDg1Crp5IbWBXX5mWh+5q02f8Qq2zrSqlNL+nSx21nGtShr+QrlZZOtdBb9b11M/7sgcidYod+0pi7bVxh3gTpxOuq7jS/+KvtYDNbWDdZVqVtbt9H6n6Svc6uXOm796STrg89vnSq7bCSGthOuWHjyOe3621BWVIQ2X3ZrKN9bkHp2XZfLA2bhroMK+vQz7pHP3tKWjDJumqPuygyfCvLXSqNfMgCLahljnUrvv6/9ju9e4+16K54UmrdI7Req25WJfjvBy24F022Vl0sm5dZ4cOwOyPfK2ew9Nn/SfMn2DpzP7WQDRd+2sOBCHZ976+Z71vXtGR/B7WxZ1toOSM7/roZzULLu7dVfXzgFXYwsvpH6cNH7SCqQz/rJt2VaxWW6+fZ2NwZ/2vd56i/KBT5qfFIw++KDLSgvufZz4DfAm7YnVUDy5tggSJZi6xyF1r+ZmnJV7Z8xi+qBlpQi66hne2CSZGPFewb12rctmqghUtpGCoCqI3kBtEDLcjjkU69xd6jrNhaQPH0OCky0IKad5baHGXLhfnSgJGRgRbU5Xg7EJBsHDGeho2l026N/tjpt4XGRWd/HP91DrdNS6QfP7TljGxrZdZGaVFoOama7ufwA52youiPX/QHafivbZu+/7f1ILz5S+njxy3Qug2xA6y+59Zue3H40FL7iWneKfaRZvPOoeUO/e1INZpmYevlb4583sqZ+1pZKfELLCRrcc1837rmdm8NnYgbHAfavtbGp1pFCYBDwVduhSKlRVaUEpSaaUUyW1fZTBix9Dwl9mPNO1tRjiT1iLNes05W0JMfZ3xHshZOtAMTycYYu58U6j7duyNybC0927pqD9T+9hoU7JTG/WFfK80jnfPb2L9DdXyloeV442mVHy8rjb5O7hLrZt61Ofrja2bbjChN2sZvraPuEWo/MY3bxH4s/ITSeIPh4euVFkY+FuwuLSuRnjyn5ttVsCMUaj1PkWa8awP7//q1jTt1Pl5qe7RNWRSsdjwYfOXWRbfwv9Y1G148U1nR7vivFe+zDd8RNon3HexbrzRKiyJcq27VPN491ErLWx0ZagmJ8btlD4WSQits2ZNn/z75hqpjW/sjIayyM953VvnxpCgVoUunSuP/bOs162Rjp22PtqrKPdus52H6GPs72bBAuvQJKSNOCx91i1D7iYl3ZBzelZcYp9Q+PFTCWzSSda/VRllJaLlpe2nEfdLEZ6TivdLK7+wm2dFypwH7ik961+69gop2S+89YOMpNVFeEv/xeKcnhH+2NfkOKn+ulYUXvEQT3m1btCf+uodaean04SOhz/m4i+1ctgMRXvEarUsxXGlxaLlyV2XBTivc8ZXZAdNVz0R2V2a1stNcWnWX3r3fClz++4J0wUMHtv04dAg1HFSBfQUAqY2skKCmKndldT/RKgAXfyWt+cGOkAvzrQJz0X/tdvSZ0tm/rv242n9fDO1ocwZLvYfZkXpalp3jFQzvv10dWZhQLxxAa9VXbtWdB6pRy8gAiMbvk8b90apVJascPPXmA3/v8OKPYOsvlvDvLrNZ5GOLp9h4qWThFev36dDPWpZrZ0vLv7UK2QYZ+7vVOBwINRxUDfaNw5UWWrn2gZSTpzSU+p5jN8mOkpd/K80aZ+NwCyZZqf+Akfv/2iUFoYKWXqdJ590be93ivfv/+oda8CTxWArCHk+ttPPdmye9GqPIZH9UV/0Y8EvjR9k0VZLU4+TIas0D0aSNHcwE/FamH0/445XL/4OnFkhWvBRPyxwLtYDfTimIVuyDukf1Yz13MMePDofgDOa+MpsR5GBq2t5m3Lj6mVAX3tKvK61Uw89r5ybJv29miB4nx15v+7rqu7fqQu6y+I+HnwqS3fGQbkpME5+Vlkyx5S4D7cDhQKpVwyUkWZegJG1cHH9cbf280HNaVhqLDD/oqq7LN3wmkfp27h9CaKnVc+GVW+XVDIjXB10GhmYh+eFD6WcxZkY/EJnNrdx/6wqpsFLxRmINCwiC50lJoe6naOZ8UrttPNSWTrUT36ON45UW29Rkkh0IRDth/1BfnmjyS3Yeo2Tdduf/7uAHQc5gO1+ytNCmOotWfbpnm1UuStaFWHlqt/Bu7w3z4xfQVJxm4ZEatTiADcchRUutngvfIcWbxqe+aNouVPa+ZIqd8xPPrs02T2K45dPjd/nt3hrqUsqqtHNJzQwdCMT7vBq3VkWrbsEkKRDl+l8rZtg8jvVRwQ7py79Hf+zLl+wUBKn254EdiGlv2pRrkp3oP/LR/Z+HMn+zzeU5apj09m+jr3PM8FBV6VevVK1O9fukz/8Smnnk+IurvkaX41Xxd/DtO7HH5+Z8Gmr9tu4R+3QX1D1aavVc8y62Qygvlaa9LiUk2Am6wW7J9Oz4VXd14aw7rABjV67teJd/Kx19hlWXJSTZzmfrKpu3cN1cO+IOvzrxDx9K45+wMv72fa21kdLQBuc3L7cxtWAlYt9KO21vgnUxbVwozZ9on1+LLqFWQoMM2yGlZtp5dKtm2na8d78FQGYLC4Sl06QFn1v1W8ne2ld1Hiotu9mEyPmb7YTg4DRZc8bbzBiS1Lxr1c/nUPtxXGhi7fRs6eSbbBvjadLWTjPYX6mZ1lr9/Dk7t+/NX0qDrrCp3/Zut5O8gwUqPU+JPv7XtL1NWj1/oo01vv4L6diRkSX9i6dIi/cdeHm8kbPfoP4h1Oq5lDSp//l2kvKWFVaCHq62UxUdSqmZ0pVPS//5o3XZbJgfOvE4mmiz/ZeVWBfb0qnRn+PxSkN+Hn0Gj4GXSf9+2MJz/BORj4XP0n/WHTZV1+6t+yYTnh25bmZzaeTDdn6V6lmonXidtYJX/1B1UmPJCiIu+v3hH/sJv5TM3jxpzK+rf068K7pXp++5FmDTx9hB1GdPV12n8/F2FfRYzrzduqCXfGUHL1Nfi75eUgMrdKlv/98QiVA7Apx8o53Yu/ALmyGipCD+Zefrg/Qm0pVP2flli6fY2EfBDsnnsxOMG7exyZK7Dqp6vtmI++x56+ZZoUbBTivlT0iWGjWX2va2nVn4TCbhupwgXfZE6CrLhfmhopBwmc1tMuXv3rPW5O4t1ipu1MImQh5wQf0t205ItCscBE8c375e8u+79EyPk6QBF9W/FvyhMvQaqdOx0qx9lykq3GUt++adpaPPiuwFiCYx2eY47XOOdUVvWmKB7Cuz1lqTtvvmAj0n8lQC1E+eeyYqymgCgPqm8vXUaDEAVVEoAgBwBqEGAHAGoQYAcAahBgBwBqEGAHAG1Y8AAGfU+Dy1UcMO5WYAABBfTeYspfsRAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4AxCDQDgDEINAOAMQg0A4IzEut4A4GBJSEhQ586d1b9/f7Vv316pqanasGGDpk2bphUrVsjv91f7Gh6PR7169dKJJ56oJk2aKDc3VxMmTFBubm6V9+ratasGDBigtm3bKjk5WWvXrtW8efO0ePFilZSURKzfrl07nXnmmWrdurV27typr7/+WgsWLFAgEIhYLykpSccee6wGDRqkhg0batWqVfriiy+0devWKtuanZ2toUOH6qijjlJBQYFmzZqlmTNnqri4uMq63bt312mnnaamTZtq27ZtmjRpklatWlWTjxU4ohBqcEabNm00ZswYtW7dWhkZGUpNTVV+fr4WLFig+++/XzNmzKgSIpWdeuqpGj16tDp37qzU1FTt3btXl112mR544AHNmjWrYr2cnBz985//VKdOnZSVlaXExETt2rVLGzdu1I033qjZs2dXrNuuXTs9//zzGjJkiLKyslRQUKDVq1frrrvu0pQpUyrW83g8GjlypB5++GF17NhRycnJysvL04QJE/TII49o7dq1Feu2bt1a999/vy644AK1aNFCJSUl2rBhg55++mm99tprKisrq1h3wIABeuGFF9SjRw+lpaWpoKBAV111le644w7NnTv3IHzyQP1B9yOc4fF4tG7dOt19993q06ePevXqpeeee069e/fWI488osaNG8d9fmZmpkaPHq1mzZrpjjvu0NFHH63HH39cQ4YM0b333qvMzMyK9d566y116NBBzz//vAYMGKCePXvqxRdfVHZ2tl5++WVlZGRIkhITE3XXXXfp9NNP1+jRo5WTk6Nf/vKXyszM1LPPPluxXvj7FxUV6dJLL1VOTo7GjBmjiy++WJdeeqm8Xvvv6vV6NXz4cF111VX67LPP1K1bN5199tnasmWLHnvsMbVr167iNZOSkvTnP/9ZHTp00L333quOHTvqvvvu0zHHHKMHH3xQiYkc18Ix90xUoCY3iRu3I++WkZERePbZZwP5+fmBtm3bRl3H4/EEEhISAiNGjAhs3bo18OCDD0Y89uSTTwaWLFkSOPnkkwOSAtnZ2YGCgoLAW2+9FcjKygpICiQmJgYaNmwY+Nvf/hbYsWNHoGXLlgFJgf79+wemT58eGDt2bMDr9Va87u9+97vAjh07ApdccknFfXfccUdgy5Ytgeuvv77ivszMzMCnn34amDhxYqBz584BSYEWLVoEPvjgg8CUKVMifqcLL7wwsGHDhsDvf//7ivvOO++8QG5ubuDJJ5+M+J1feeWVwPLlywOnnnpqnX9H3LjV9FaTrKKlBqcVFxdrz549Ki0tjdn1GAgE5PV6NWTIEHm9Xk2cOFGSjZtJ0pdffqns7Gx16dJFklRYWKgpU6ZU3Bdcr1evXsrOztb06dMrWkCdO3dW586dNXbs2IgxvXHjxsnn82nIkCEV951yyinatWuXpk2bVnFfUVGRJk2apO7du6tFixaSrEXXu3dvTZ06VTt27KhY94cfftCGDRs0dOjQivv69u2rtLQ0vffeexG/85gxY9SsWTMdddRR+/mJAvUbfQ9wWrt27TRw4EBNmDBBe/bsibleZmamOnXqJElauXJlxf2BQEDr1q1TSkqKMjIy5PF4VFRUpMcee0x33nmnHnvsMW3atEkpKSlq1qyZVq1apTFjxmjTpk0Vr5uWlqZ169ZFvF/wPcK7Cjt06KDi4uKIsbPy8nKtWbNG2dnZSk9PlySlpKQoOztbGzdujCgK2bRpk/Lz89WtW7eK+1q1aqXk5GQtW7Ys4v0XLFigtLS0iqAEXEGowVkNGzbUfffdp44dO2r06NFxQ2337t1KTU1VcnKydu7cKUny+XySpPz8fKWmpio1NbWitbdu3Tp5PB6ddNJJSkpKktfrlc/nU2FhodatWye/3y+v11vRiisqKop4v6KiIiUkJCgtLa3iPq/Xq0AgoNLS0or7AoGACgsLlZqaqqSkJEk2duj1elVeXh7R+isvL5fP51ODBg0iPoOEhAQVFhZGvH9xcbE8Hk/F9gGuoPsRTkpPT9fDDz+sCy64QM8995wmT54cs/sxKSlJZWVl8vl88vv98ng8EY97vV4VFhZWBEhycrIefvhhnXjiibr33nuVk5OjDh066NFHH9XAgQP10EMPKTU1tWL9aO+bnJwsv98fEWCSdXkmJydH3JeYmKjS0tKKkA1uU3JycsS2BkO0oKCg4r7i4mIFAoEq4RXcvvDXBFxAqME5zZs31+9+9zvdcsstevXVV/XKK69ElLhXVl5eLklau3atPB6POnbsGPF4z5495fP5tG3bNkkWgiNGjNCkSZP02muvae3atdq4caOef/55jR8/XhdccIFSUlIqXtvn8yk7OzviNdu3b69AIFDxmpKUl5enpKQkNWnSpOK+hIQEtW7dWrt27aoIq/Lycu3du1eZmZkVrTdJysjIUHJycsQ425YtW1RWVqb27dtX3OfxeNS6dWuVlpbGbb0CRyJCDU5p0aKFfvOb3+i2227TP/7xD40aNUp79+6t9nnJyckV3YYnnXRSRavH4/FoxIgR2rp1a8W4mNfrVaNGjVRSUhLR0klMTFRiYmJFgCYmJmrDhg3avn17REm+JJ1++unyer0R54lNnjxZWVlZEYUeqampOuOMM7Rq1Srl5eVJsu7Q2bNna8iQIREBeNxxx6l169b6+uuvK+6bN2+eCgoKdP7551fcFwgENGLECO3cuVOLFi2q8WcLHAkINTgjIyNDd955p2644Qa99dZbeuKJJ7R9+/ZqnxcIBFReXq6PPvpIu3bt0i233KKhQ4cqLS1NV155pS699FKtX79eS5YskcfjUVlZmb744guddtppuu6665SVlaWMjAxdfvnlOuOMMzRr1iyVlZXJ7/dr1qxZWrhwoUaOHKmrrrpKqampGjRokG666SYVFRVp7NixFdsxbtw4paen6+abb1bv3r2VkpKin//85zr55JM1derUilDNy8vT5MmTNXjwYN1yyy1q2LChOnTooJtuukmNGzfW22+/XfGakydP1po1a3TDDTfozDPPVFJSkoYPH67rrrtO69at07fffnvwvwigDnn2nYNWrVHDDvWmAAcmJydHc+bMUUpKinbv3i2fz6dAIKBAICC/369TTz1VS5YsqVh/4sSJatu2rY477jgVFhbK4/Ho5ptv1qhRo1ReXq7y8nKlpKQoLy9P1113naZPn15R/n/uuefq6aefVqNGjVRaWqqEhASlpKRoy5Yt+tWvfqVJkyZVjKkNGzZMf/rTn9SlSxeVlZXJ6/UqKSlJd9xxh15//fWK7UlISNDdd9+t++67T36/v+K9lixZottvv11z586teM2uXbvqueee08CBAyvGARMTE/XMM8/o8ccfj6iKvPjii/X3v/9dHo+noqu1vLxc11xzjSZNmnQ4vhrgoLhnYvXrUP0IZ5SUlERMZVVZ5fGj9evXq6ioqKISMRAI6LXXXlNeXp6GDx+uli1bavHixXr55ZcjSuL9fr/Gjx+vVatW6dZbb1XPnj2VmpqqOXPm6KWXXtL8+fMj3mfSpEnasmWLbrrpJnXv3l25ubl64403NHny5Ij1fD6fnnvuOS1fvlyXXXaZsrOzNWPGDL366qsRpxlI0ooVK3TTTTfp5ptv1pAhQ1RQUKAPPvhAH374YZW5H8eOHavc3FzdfPPNatmypdauXat//OMfcT8r4EhFSw04CBo0aBB1IuEgr9dbowmVAcRWk5YaY2rAQRAv0CQRaMBhQqgBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAYeZx+Op0X0A9l9iXW8AcKTzeDy6//775fV6K/4tSevWrdPrr79esV5CQoK6dOmi/v37q2PHjvL7/Vq/fr2+//57rVy5UgkJCfL5fHXyOwCuINSAA+T1evXQQw8pKSlJUijUpk6dGhFqzZs31zPPPKOjjjpKzZo1U0lJiXbv3q2FCxfqkUce0Y8//lgn2w+4hO5H4AAFAgH5/X59/PHHateundq2bau2bdvqoosuiljP6/Vq+/bt+uMf/6g+ffqof//+evnll9WnTx89/fTTatKkSR39BoA7aKkBB0FCQoJKS0u1adOmmOts3LhR1113XUQX4+jRo5Wenq4rrriioqUHoPYINeAg8Pv9ateuna699lr5fD4tW7ZMM2fOrLKez+eT1+uV3++XJJWXl6uoqEjp6elKSEg43JsNOIdQAw6CsrIy9evXT3/9618VCAS0ZMkSvfDCC3rjjTeqFH8EAoGK5Y4dO+qkk07SlClTVF5efrg3G3AOY2rAQfDRRx/p4osv1hlnnKFHHnlEnTp10l133aUBAwZUWTcYaqmpqbr99tvVqFEjvfjii8rLy1NycvLh3nTAKbTUgAPk9/t1ww03yOfzKRAI6LvvvtOuXbv0zDPP6OSTT9YPP/xQpbWWmZmpBx54QFdeeaUee+wxff755xEtOAC1Q6gBB0Gw69Dj8cjv9+vzzz9XamqqmjZtWiXQmjdvrttvv1233XabXnzxRY0ZM4ZAAw4SQg04CDwejwKBQEU49ejRQ2VlZSosLKx4PCkpSdnZ2fr1r3+tSy65RGPHjtWzzz6rHTt21OWmA05hTA04QLfffrtOOOEEpaSkKC0tTaeddpoeffRRbd68WbNmzZJk42gZGRn6xS9+oRtvvFFvv/22HnzwQeXm5lZUQgI4cJ57JqpG/R6jhh3qTQGOTNOmTVNOTo5KSkqUlJSk5ORkeTwevfzyy3rggQdUVlYmSerataumTZumzMxMFRQUyOfzqby8XKWlpUpNTdXxxx+v9evX1/FvA9Rf90ysfh26H4EDdM011+jKK6/UiSeeqMTERG3atEnvvPOOPvnkk4j1iouLtWjRIjVo0EAej0cej0c+n0+lpaWSVDF3JIDao6UGADgi1KSlxqEhAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBmEGgDAGYQaAMAZhBoAwBk1ntC4JnNuAQBQl2ipAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnEGoAQCcQagBAJxBqAEAnPH/AcMXt3RoHdj+AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 1600x6400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "pipe = video_pipe(\n",
    "    batch_size=BATCH_SIZE, num_threads=2, device_id=0, file_list=tf.name\n",
    ")\n",
    "pipe.build()\n",
    "gs = gridspec.GridSpec(ITER, 1)\n",
    "\n",
    "for i in range(ITER):\n",
    "    sequences_out, label, start_frame_num, timestamps = pipe.run()\n",
    "    sequences_out = sequences_out.as_cpu().as_array()\n",
    "    label = label.as_cpu().as_array()\n",
    "    start_frame_num = start_frame_num.as_cpu().as_array()\n",
    "    timestamps = timestamps.as_cpu().as_array()\n",
    "    batch_sequences = sequences_out[0]\n",
    "    sample_frame = batch_sequences[0]\n",
    "    if has_PIL:\n",
    "        im = Image.fromarray(sample_frame.astype(\"uint8\"))\n",
    "        fig = plt.figure(figsize=(16, 64), facecolor=\"#76b900\")\n",
    "        plt.subplot(gs[i])\n",
    "        plt.axis(\"off\")\n",
    "        plt.title(\n",
    "            \"label=\" + str(label[0][0]) + \"\\n\"\n",
    "            \"frame number=\" + str(start_frame_num[0][0]) + \"\\n\"\n",
    "            \"timestamp=\" + str(round(timestamps[0][0], 2)),\n",
    "            fontsize=20,\n",
    "        )\n",
    "        plt.imshow(im)\n",
    "plt.close()\n",
    "tf.close()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}
